Parameters
1.4B
Weights (est.)
≈ 2.8 GB
Mac memory (est.)
8 GB+
Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-lm on an Apple silicon Mac:
pip install mlx-lmmlx_lm.generate --model mlx-community/sarashina2.2-1b-instruct-v0.1 --prompt "Hello"
Details
- Base model
- sbintuitions/sarashina2.2-1b-instruct-v0.1 (finetune)
- Vendor
- sbintuitions
- Task
- Text generation
- Quantisation
- Not stated
- Licence
- mit
- Downloads
- 31 in the last 30 days · 214 all time · 0 likes
- Published
- 2025-06-27 · updated 2025-06-27 (1y ago)
- Languages
- ja
- Tags
- llama